On-location / Digital Conference

International Conference on Computational Probability and Random Processes (ICCPRP-27)

16th - 17th Feb 2027,Budapest, Hungary

In Association With:

Call for Paper


Important Dates


Early Bird Registration

17th Jan 2027

Paper Submission Deadline

22nd January 2027

Registration Deadline

1st February 2027

Conference Date

16th - 17th Feb 2027

Conference Updates:

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Budapest ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Budapest conference.
  • Peer Review Process:
    The peer review process will begin soon for Budapest conference.
  • Networking with Global Experts:
    Join global experts at our conference in Budapest.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICCPRP bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Computational Probability and Random Processes, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Computational methods in probability theory
  • Applications of random processes in finance
  • Stochastic modeling in engineering systems
  • Monte Carlo simulations for random variables
  • Statistical inference for random processes
  • Random walks and their applications
  • Markov chains in computational probability
  • Probabilistic algorithms for data analysis
  • Randomness in computer science applications
  • Probability distributions in machine learning
  • Random processes in telecommunications
  • Applications of Bayesian methods in probability
  • Statistical mechanics and random processes
  • Random fields in image processing
  • Monte Carlo methods in risk assessment
  • Randomized algorithms for optimization problems
  • Stochastic calculus in finance applications
  • Probabilistic models for network analysis
  • Random processes in biological systems
  • Computational challenges in probability modeling

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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